A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure -- in patients by using artificial intelligence (AI) to examine the genes in their DNA ...

Machine learning, a branch of artificial intelligence, has become more accurate than human medical professionals in predicting incidence of heart attack or death in patients at risk of coronary ...

Bayer taps longtime partner Huma to build online risk prediction tool for heart disease By Andrea Park Feb 6, 2023 9:53am Bayer heart disease screening machine learning ...

A system that spun out of Stanford is using AI and machine learning to help doctors visualise patients' arteries and spare them invasive tests.